Saved in:
| Main Authors: | Acciarini, Giacomo, Baydin, Atılım Güneş, Izzo, Dario |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.04830 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Computing low-thrust transfers in the asteroid belt, a comparison between astrodynamical manipulations and a machine learning approach
by: Acciarini, Giacomo, et al.
Published: (2024)
by: Acciarini, Giacomo, et al.
Published: (2024)
EclipseNETs: Learning Irregular Small Celestial Body Silhouettes
by: Acciarini, Giacomo, et al.
Published: (2025)
by: Acciarini, Giacomo, et al.
Published: (2025)
IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics
by: Kelebek, Halil S., et al.
Published: (2025)
by: Kelebek, Halil S., et al.
Published: (2025)
NeuralODEs for VLEO simulations: Introducing thermoNET for Thermosphere Modeling
by: Izzo, Dario, et al.
Published: (2024)
by: Izzo, Dario, et al.
Published: (2024)
Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models
by: Wolniewicz, Linnea M., et al.
Published: (2025)
by: Wolniewicz, Linnea M., et al.
Published: (2025)
Reachability for Low-Thrust Trajectories via Maximum Initial Mass
by: Acciarini, Giacomo, et al.
Published: (2026)
by: Acciarini, Giacomo, et al.
Published: (2026)
A practical guide to implementing zero-order-hold interplanetary trajectory legs
by: Izzo, Dario, et al.
Published: (2026)
by: Izzo, Dario, et al.
Published: (2026)
Asteroid Mining: ACT&Friends' Results for the GTOC 12 Problem
by: Izzo, Dario, et al.
Published: (2024)
by: Izzo, Dario, et al.
Published: (2024)
MasconCube: Fast and Accurate Gravity Modeling with an Explicit Representation
by: Fanti, Pietro, et al.
Published: (2025)
by: Fanti, Pietro, et al.
Published: (2025)
Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks
by: Holt, Harry, et al.
Published: (2025)
by: Holt, Harry, et al.
Published: (2025)
Optimality Principles in Spacecraft Neural Guidance and Control
by: Izzo, Dario, et al.
Published: (2023)
by: Izzo, Dario, et al.
Published: (2023)
Exoplanets Prediction in Multi-Planetary Systems and Determining the Correlation Between the Parameters of Planets and Host Stars Using Artificial Intelligence
by: Mousavi-Sadr, Mahdiyar
Published: (2024)
by: Mousavi-Sadr, Mahdiyar
Published: (2024)
A Machine Learning Approach to Detecting Albedo Anomalies on the Lunar Surface
by: Strukova, Sofia, et al.
Published: (2024)
by: Strukova, Sofia, et al.
Published: (2024)
Hazardous Asteroids Classification
by: Quy, Thai Duy, et al.
Published: (2024)
by: Quy, Thai Duy, et al.
Published: (2024)
Reconstructions of Jupiter's magnetic field using physics informed neural networks
by: Livermore, Philip W., et al.
Published: (2024)
by: Livermore, Philip W., et al.
Published: (2024)
Engineering Microbial Symbiosis for Mars Habitability
by: Correll, Randall R., et al.
Published: (2025)
by: Correll, Randall R., et al.
Published: (2025)
Causal Evidence for the Primordiality of Colors in Trans-Neptunian Objects
by: Davis, Benjamin L., et al.
Published: (2025)
by: Davis, Benjamin L., et al.
Published: (2025)
Grid-based exoplanet atmospheric mass loss predictions through neural network
by: Reza, Amit, et al.
Published: (2025)
by: Reza, Amit, et al.
Published: (2025)
Multi-scale clustering and source separation of InSight mission seismic data
by: Siahkoohi, Ali, et al.
Published: (2023)
by: Siahkoohi, Ali, et al.
Published: (2023)
Using Machine Learning for Lunar Mineralogy-I: Hyperspectral Imaging of Volcanic Samples
by: Hesar, Fatemeh Fazel, et al.
Published: (2025)
by: Hesar, Fatemeh Fazel, et al.
Published: (2025)
A Measurement of the Kuiper Belt's Mean Plane From Objects Classified By Machine Learning
by: Matheson, Ian C., et al.
Published: (2023)
by: Matheson, Ian C., et al.
Published: (2023)
Physics-based machine learning for mantle convection simulations
by: Agarwal, Siddhant, et al.
Published: (2025)
by: Agarwal, Siddhant, et al.
Published: (2025)
Accelerating exoplanet climate modelling: A machine learning approach to complement 3D GCM grid simulations
by: Plaschzug, Alexander, et al.
Published: (2025)
by: Plaschzug, Alexander, et al.
Published: (2025)
Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning
by: Giobergia, Flavio, et al.
Published: (2023)
by: Giobergia, Flavio, et al.
Published: (2023)
Reinforcement Learning to Discover a North-East Monsoon Index for Rainfall Prediction in Thailand
by: Chobtham, Kiattikun
Published: (2026)
by: Chobtham, Kiattikun
Published: (2026)
Machine Learning in Orbit Estimation: a Survey
by: Caldas, Francisco, et al.
Published: (2022)
by: Caldas, Francisco, et al.
Published: (2022)
Discovery of Small Ultra-short-period Planets Orbiting KG Dwarfs in Kepler Survey Using GPU Phase Folding and Deep Learning Detection System
by: Wang, Kaitlyn, et al.
Published: (2023)
by: Wang, Kaitlyn, et al.
Published: (2023)
Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables
by: Caldas, Francisco, et al.
Published: (2024)
by: Caldas, Francisco, et al.
Published: (2024)
A High-Precision, Differentiable Code for Solar System Ephemerides
by: Cassese, Ben, et al.
Published: (2025)
by: Cassese, Ben, et al.
Published: (2025)
Estimating Orbital Parameters of Direct Imaging Exoplanet Using Neural Network
by: Liang, Bo, et al.
Published: (2025)
by: Liang, Bo, et al.
Published: (2025)
High-fidelity lunar topographic reconstruction across diverse terrain and illumination environments using deep learning
by: Chen, Hao, et al.
Published: (2026)
by: Chen, Hao, et al.
Published: (2026)
Machine Learning for Exoplanet Detection in High-Contrast Spectroscopy: Revealing Exoplanets by Leveraging Hidden Molecular Signatures in Cross-Correlated Spectra with Convolutional Neural Networks
by: Garvin, Emily O., et al.
Published: (2024)
by: Garvin, Emily O., et al.
Published: (2024)
The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models
by: Wrona, Marcin, et al.
Published: (2024)
by: Wrona, Marcin, et al.
Published: (2024)
EclipseNETs: a differentiable description of irregular eclipse conditions
by: Acciarini, Giacomo, et al.
Published: (2024)
by: Acciarini, Giacomo, et al.
Published: (2024)
NeuralCMS: A deep learning approach to study Jupiter's interior
by: Ziv, Maayan, et al.
Published: (2024)
by: Ziv, Maayan, et al.
Published: (2024)
Detecting Moving Objects With Machine Learning
by: Fraser, Wesley C.
Published: (2024)
by: Fraser, Wesley C.
Published: (2024)
Estimating Exoplanet Mass using Machine Learning on Incomplete Datasets
by: Lalande, Florian, et al.
Published: (2024)
by: Lalande, Florian, et al.
Published: (2024)
FlopPITy: Enabling self-consistent exoplanet atmospheric retrievals with machine learning
by: Martínez, Francisco Ardévol, et al.
Published: (2024)
by: Martínez, Francisco Ardévol, et al.
Published: (2024)
Inferring Stellar Parameters from Iodine-Imprinted Keck/HIRES Spectra with Machine Learning
by: Gussman, Jude, et al.
Published: (2024)
by: Gussman, Jude, et al.
Published: (2024)
The weird and the wonderful in our Solar System: Searching for serendipity in the Legacy Survey of Space and Time
by: Rogers, Brian, et al.
Published: (2024)
by: Rogers, Brian, et al.
Published: (2024)
Similar Items
-
Computing low-thrust transfers in the asteroid belt, a comparison between astrodynamical manipulations and a machine learning approach
by: Acciarini, Giacomo, et al.
Published: (2024) -
EclipseNETs: Learning Irregular Small Celestial Body Silhouettes
by: Acciarini, Giacomo, et al.
Published: (2025) -
IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics
by: Kelebek, Halil S., et al.
Published: (2025) -
NeuralODEs for VLEO simulations: Introducing thermoNET for Thermosphere Modeling
by: Izzo, Dario, et al.
Published: (2024) -
Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models
by: Wolniewicz, Linnea M., et al.
Published: (2025)